Predictive Analytics - Why Education Sector Should Stand To Embrace This Technology Bliss



By Anjli Jain on 2 May 2018

From American Social Media giant Facebook to online shopping portal, Amazon, whenever I see such companies bringing predictive analytics into play, I wonder if this could’ve been the sole purpose of instigating such productive technological advancement.

Where on one hand I see Netflix tweeting, "75% of our viewing is driven by the recommendation algorithm", on the other, the minimal use of such advancements in the sectors like education gives me an unsettling feeling about the future leaders shifting to the rear end of progress. I read somewhere that only 45% of the students graduate on time in the US, which is sad enough to tell the current state of the education.

Why Predictive Analytics In HigherEd?

As the student graduation and retention rates get low to an unacceptable extent, the urgency of implying new strategies rings the high priority alert. No student would like to sink their tuition fees along with the possible school degree for nothing. Having said that, only students are not at the loss here, the colleges are also prone to witness ramifications. Colleges are susceptible to the loss of reputation and money tied to the student’s enrollment.

Today, where everything is digitalized and available online, analyzing the available data deeply to ensure focus on the areas of concern comes out as a moral as well as a financial obligation. This will help in telling the reasons why students are not able to complete their graduation on time.

With this in mind, EVC Ventures supported BlackBeltHelp to assist institutions with an advanced Helpdesk support. They assist institutions with an analytic tool which intelligently analyzes data for the student success and the institution’s efficiency, thereby creating a data-driven culture that is instrumental in achieving targets.



Benefits of Using Predictive Analytics In HigherEd

Student Retention Rates - Do you know, almost one in three college & university students in the US do not return for the second year. What could be the reason behind such massive attrition rates?

It might seem impossible to predict the number of students who are going to stay connected to the institution until the end. However, BlackBeltHelp excels at analyzing the patterns of student retention history. This helps the institutions to understand different factors that help in increasing student retention rates. The factors like student’s academic success and failure history help in understanding the reasons behind attrition and how that can be worked on by identifying the actionable triggers.

Improving Student Engagement Rates - Another benefit of inclusion of predictive analytics in education is the ability to engage the students effectively. With the help of pre-recorded data, one can identify the loopholes or reasons for students getting distracted. In this way, institutions can support the students and engage them more effectively.

Maximizing Student Enrollments - Predictive analytics helps in identifying the optimal mix of the students that should be enrolled in the institution. It helps in cutting down the enrolment costs and eventually, results in increasing the operational efficiency of the institute by approaching only the interested students. Not only this, an institute can seek benefit by analyzing the students’ profiles and fitting them into appropriate programs.

Providing Financial Aid to the Students - With the help of predictive analysis, students can get the chance to get the most out of the provision of financial aid. BlackBeltHelp helps in providing analytics with precision, thereby helping organizations to provide financial services to the maximum number of students and on time.

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